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Fast multi-parameter estimation and localization for MIMO radar

Lingyun Xu1,2,*, Xiaofei Zhang1, and Miao Yu2   

  1. 1. College of Science, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
    2. Nanjing Telecommunication Technology Institute, Nanjing 210007, China
  • Online:2015-06-25 Published:2010-01-03

Abstract:

This paper addresses the problem of four-dimensional angle and Doppler frequency estimation for bistatic multiple-input multiple-output (MIMO) radar with arbitrary arrays in spatial colored noise. A novel method for joint estimation of Doppler frequency, two-dimensional (2D) direction of departure and 2D direction of arrival based on the propagator method (PM) for arbitrary arrays is discussed. A special matrix is constructed to eliminate the influence of spatial colored noise. The four-dimensional (4D) angle and Doppler frequency are extracted from the matrix and the threedimensional (3D) coordinates of the targets are then calculated on the basis of these angles. The proposed algorithm provides a lower computational complexity and has a parameter estimation very close to that of the ESPRIT algorithm and the DOA-matrix algorithm in the high signal to noise ratio and the Cram´er-Rao bound (CRB) is given. Furthermore, multi-dimensional parameters can be automatically paired by this algorithm to avoid performance degradation resulting from wrong pairing. Simulation results demonstrate the effectiveness of the proposed method.